A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance

The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conduct...

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Main Authors: Mehmet Kokoç, Mehmet Kara
Format: Article
Language:English
Published: International Forum of Educational Technology & Society 2021-01-01
Series:Educational Technology & Society
Subjects:
Online Access:https://drive.google.com/file/d/1Xv9uj6pcUdZz0GeYka_fCki19m5zAk1W/view
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spelling doaj-9724cb50f2d44c7692e77b278a7449492021-05-02T11:42:12ZengInternational Forum of Educational Technology & SocietyEducational Technology & Society1176-36471436-45222021-01-012411628A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner PerformanceMehmet Kokoç0Mehmet Kara1School of Applied Sciences, Trabzon University, TurkeyVocational School of Design, Amasya University, TurkeyThe purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week course delivered through the Moodle learning management system. The findings from the confirmatory factor analysis indicated that a three-factor model of the EFLA for learners provided the best model fit for the collected data. The model is consistent with the factorial structure of the original instrument developed based on the data from the European learners. Study 2 aimed to reveal how the metacognitive and behavioral factors pertaining to the learning analytics dashboard predict learners’ academic performance. A total of 63 online learners enrolled in a 14-week online computing course participated in this study. The results from the logistic regression analysis indicated that online learners more frequently interacted with the learning analytics dashboard demonstrated greater academic performance. Furthermore, the dimensions of the EFLA, together with the interaction with the dashboard, significantly predicted learners’ academic performance. This multiple-study investigation contributes to the generalizability of the EFLA for learners and highlights the importance of metacognitive and behavioral factors for the impact of learning analytics dashboards on learner performance.https://drive.google.com/file/d/1Xv9uj6pcUdZz0GeYka_fCki19m5zAk1W/viewlearning analyticslearning analytics dashboardsevaluationvalidationlearning performance
collection DOAJ
language English
format Article
sources DOAJ
author Mehmet Kokoç
Mehmet Kara
spellingShingle Mehmet Kokoç
Mehmet Kara
A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance
Educational Technology & Society
learning analytics
learning analytics dashboards
evaluation
validation
learning performance
author_facet Mehmet Kokoç
Mehmet Kara
author_sort Mehmet Kokoç
title A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance
title_short A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance
title_full A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance
title_fullStr A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance
title_full_unstemmed A Multiple Study Investigation of the Evaluation Framework for Learning Analytics: Instrument Validation and the Impact on Learner Performance
title_sort multiple study investigation of the evaluation framework for learning analytics: instrument validation and the impact on learner performance
publisher International Forum of Educational Technology & Society
series Educational Technology & Society
issn 1176-3647
1436-4522
publishDate 2021-01-01
description The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week course delivered through the Moodle learning management system. The findings from the confirmatory factor analysis indicated that a three-factor model of the EFLA for learners provided the best model fit for the collected data. The model is consistent with the factorial structure of the original instrument developed based on the data from the European learners. Study 2 aimed to reveal how the metacognitive and behavioral factors pertaining to the learning analytics dashboard predict learners’ academic performance. A total of 63 online learners enrolled in a 14-week online computing course participated in this study. The results from the logistic regression analysis indicated that online learners more frequently interacted with the learning analytics dashboard demonstrated greater academic performance. Furthermore, the dimensions of the EFLA, together with the interaction with the dashboard, significantly predicted learners’ academic performance. This multiple-study investigation contributes to the generalizability of the EFLA for learners and highlights the importance of metacognitive and behavioral factors for the impact of learning analytics dashboards on learner performance.
topic learning analytics
learning analytics dashboards
evaluation
validation
learning performance
url https://drive.google.com/file/d/1Xv9uj6pcUdZz0GeYka_fCki19m5zAk1W/view
work_keys_str_mv AT mehmetkokoc amultiplestudyinvestigationoftheevaluationframeworkforlearninganalyticsinstrumentvalidationandtheimpactonlearnerperformance
AT mehmetkara amultiplestudyinvestigationoftheevaluationframeworkforlearninganalyticsinstrumentvalidationandtheimpactonlearnerperformance
AT mehmetkokoc multiplestudyinvestigationoftheevaluationframeworkforlearninganalyticsinstrumentvalidationandtheimpactonlearnerperformance
AT mehmetkara multiplestudyinvestigationoftheevaluationframeworkforlearninganalyticsinstrumentvalidationandtheimpactonlearnerperformance
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